
11 - 50 employees
Founded 2022
☁️ SaaS
🤖 Artificial Intelligence
💰 $15M Series A on 2023-12
Cloud • SaaS • Artificial Intelligence
ScaleOps is a cloud-native optimization platform that focuses on automating real-time resource management for Kubernetes environments. By utilizing intelligent scheduling and automated rightsizing, ScaleOps enables businesses to reduce their Kubernetes costs by up to 80%, while enhancing cluster reliability and performance. Designed with DevOps in mind, ScaleOps allows teams to optimize CPU and memory allocation effortlessly and focus on strategic initiatives rather than manual configurations.
🕒 August 10
Where this job comes from
Posted on ScaleOps - Cloud-Native Optimization's careers page, not through a job board
First seen by Remote Rocketship August 10
Still open on ScaleOps - Cloud-Native Optimization's site. Checked 8 hours ago.

11 - 50 employees
Founded 2022
☁️ SaaS
🤖 Artificial Intelligence
💰 $15M Series A on 2023-12
Cloud • SaaS • Artificial Intelligence
ScaleOps is a cloud-native optimization platform that focuses on automating real-time resource management for Kubernetes environments. By utilizing intelligent scheduling and automated rightsizing, ScaleOps enables businesses to reduce their Kubernetes costs by up to 80%, while enhancing cluster reliability and performance. Designed with DevOps in mind, ScaleOps allows teams to optimize CPU and memory allocation effortlessly and focus on strategic initiatives rather than manual configurations.
• Dive deep into Kubernetes and related technologies like Istio, Helm, and Prometheus • Tackle daily engineering challenges and drive innovation in Kubernetes optimization • Work with cutting-edge tools and frameworks such as container orchestration, microservices architecture, and cloud-native applications • Join a team of skilled professionals building the core product offering • Build a Kubernetes resource management platform to improve DevOps team productivity worldwide • Gain a deep understanding of Kubernetes and container technologies • Write code in Go and understand Kubernetes internals in depth • Work with a high degree of autonomy and responsibility
• 4+ years of industry experience developing complex, technically demanding, and large-scale systems • Significant hands-on experience developing cloud-based applications • Strong understanding of cloud-native technologies, including container technologies and Kubernetes • Degree in Computer Science from a top academic institute, or relevant experience as a Software Engineer in an IDF technological unit • Positive attitude and willingness to collaborate with others to build world-class products • Drive to take ownership and impact the company's future • Experience with Kubernetes, Istio, Helm, Prometheus, container orchestration, microservices architecture, cloud-native applications, and Go
Apply NowImprove your chances of getting an interview by checking your resume score before you apply.
🕒 August 9
Healthcare sales executive driving Gorilla Logic's digital engineering growth across U.S. life sciences organizations. Owning enterprise revenue, strategic accounts, partnerships, and complex sales pursuits.
🕒 August 7
EHV transmission engineering consultant leading 500kV–765kV utility projects for Sargent & Lundy. Managing design teams, deliverables, standards compliance, and client coordination.
🕒 August 7
MDM ETL Specialist developing Informatica MDM, ETL, Python, and Teradata solutions for CSpring’s data consulting clients. Supporting QA, production operations, and data modernization projects.
🕒 August 6
Senior Developer leading Life Insurance and Annuity technology delivery for EXL. Designing solutions, guiding distributed teams, and improving systems through automation and AI tools.
🇺🇸 United States – Remote
💵 $100k - $115k / year
💰 $2M Venture Round on 2015-01
⏰ Full Time
🟠 Senior
🖥 Software Engineer
🕒 August 6
Software Engineer building scalable applications for Pomelo AI’s global tech clients. Designing, testing, deploying, and optimizing production-ready systems across the full development lifecycle.